Simon Kamronn

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The efficacy of learning in a classroom depends on how engaged students are with the learning material. Is it possible to assess students' engagement, not with questionnaires or surveys, but directly from their brain activity without distracting them from the material at hand? We demonstrate that classroom engagement can be measured using students' neural(More)
Correlated component analysis as proposed by Dmochowski, Sajda, Dias, and Parra (2012) is a tool for investigating brain process similarity in the responses to multiple views of a given stimulus. Correlated components are identified under the assumption that the involved spatial networks are identical. Here we propose a hierarchical probabilistic model that(More)
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